Genetic Crossover at the RNA Level for Secure Medical Image Encryption
Hassan Tabti, Hamid El Bourakkadi, Abdelhakim Chemlal, Abdellatif Jarjar, Kahlid Zenkouar, Saïd Najah
Abstract
In this study, we will describe a novel cryptographic system leveraging a genetic crossover process based on a scheme specifically tailored for encrypting medical images, operating at the level of ribonucleic acid (RNA) sequences. Initially, an extraction of the three-color channels and their conversion into vectors involving confusion and diffusion is conducted, followed by a pseudo-random transformation into RNA notation. A genetic crossover with a pseudo-random vector generated from chaotic maps and controlled by a pseudo-random crossover table is applied to generate a new RNA gene with significantly enhanced performance, inheriting genetic properties from both crossed genes to address unforeseen attacks. A sample of diverse images randomly selected from several databases is tested by our cryptographic system, yielding highly promising results.